Multi-scale triangulated irregular network (TIN) library coupled storage method

Abstract

The invention discloses a multi-scale triangulated irregular network (TIN) library coupled storage method, which comprises the following steps of: preprocessing multi-scale data, namely comparing and replacing points and reducing the data storage capacity; encoding points and edges so as to provide information during multi-scale display; and finally performing associated storage on the multi-scale points and edges. The method supports one-off joint update of a multi-scale TIN digital elevation model (DEM) net based on characteristic points, lines and planes, the production efficiency of the DEM is improved, the storage space is saved, the effective utilization rate of space is improved, and great convenience is provided for three-dimensional multilevel visualization of the multi-scale TINDEM net due to TIN DEM net association.

Description

technical field [0001] The invention belongs to the field of computer geography applications, in particular to a method for coupled storage of multi-scale TIN databases. Background technique [0002] In order to meet the multi-scale data needs of users at different levels and in different fields under different application backgrounds, the ideal method is to store the highest-precision single-scale data expression in the database. When data of other scales are needed, the database system can automatically export the data of the required scale, which is also the goal of automatic map synthesis. However, due to the problem of automatic digital map synthesis, breakthroughs have not been made. The problem of exporting data at different levels of abstraction has not been completely resolved (Wang Yanhui, Chen Jun et al., 2003). Therefore, countries around the world are still digitizing maps of various scales and storing spatial data of various scales. This method is time-consum...

AI Technical Summary

Problems solved by technology

However, the fundamental way out to solve this problem is to realize the automation of GIS cartographic synthesis. However, at present, GIS cartographic synthesis still stays in the digital editing stage of manual or human-computer interaction. , 1995), but due to the naturalness, integrity, high instability, partial subjectivity and application-oriented characteristics of the generalization of cartography, it is difficult to describe it completely in simple mathematical and logical language. The method is not realistic, so whether the technology can be realized will depend on the accurate formal description and implementation of the transformation process from the database storage target to the ideal output result.

[0005] The second method is to seek a strategy to link the expression targets of each scale based on the reality of existing multi-scale data, thus also constructing a multi-scale spatial database (that is, a multi-database multi-version multi-scale database), but this kind of The method of database construction needs to solve the problem of maintaining the consistency of multi-scale expression

Images